Ratings and Reviews for Introduction to Data Science in Python

Sometimes the question are clear due to the lack of clear definitions. The assignments could be done much faster if one did not have to research the entire forum. Moreover, the autograder can be really frustrating.

this goes through the basics once again. a very good course to brushup the forgotten python scripts on data handling and cleaning...

The course is based on getting hands on experience of pandas package and some hypothesis testing. be sure to learn basics of pandas and hypothesis testing before enrolling the course.

Really simple and easy to follow and learn :)

Последнее задание, требует подгонки данных? Очень странно..

great course, but the auto grader needs updating

Most of the work is on your shoulders, I think it needs more practice session on pandas. Wes McKinney's book are strongly recommended for help through the course.

I've learned a lot of courses on Coursera, and I found this course the toughest but the most rewarding. I can't say that after this course I became an expert in Python-Pandas, but I've really learned tons of analytical skills. Thanks to lecturer and all the faculties.

This is a terrible course. The "instructors" give quick little lectures, then we're told, for the somewhat complicated (for a beginner) assignments, to look things up on StackOverflow to figure out how to do the assignments. Um, no. I want a class so I don't have to tear my hair out dealing with the internet. The Johns Hopkins Data Science Specialization was fantastic. They actually taught how to use R to do data science. I'd hoped for something similar for Python with this class, but I guess The University of Michigan isn't Johns Hopkins.

Great Introductory course of python libraries like pandas and numpy